应用生态学报2009，Vol.20Issue(7)：1577-1585,9.
基于RUSLE的环杭州湾地区土壤侵蚀敏感性评价及关键敏感因子识别
Sensitivity evaluation and key sensitive factors identification of soil erosion around Hangzhou Bay based on RUSLE
摘要
Abstract
By using GIS and RS techniques and RUSLE, the rainfall erosivity (R), soil erodibility (K), vegetation and management factor (C), and slope length and steepness factor (LS) around Hangzhou Bay of Zhejiang Province, China were calculated to make a comprehensive sensitivity evaluation of soil erosion in the study area. In the meantime, the contribution of each natural factor, i.e., rainfall, soil texture, slope, and elevation, was analyzed, and a new approach, overlapping and ordering method, was developed to identify the key affecting factors in the given sensitive areas. In the study area, soil erosion was mainly at non-sensitive and low sensitive levels. The percentages of the areas with different soil erosion sensitivity varied with the strength of the affecting factors. Soil erosion sensitivity increased with increasing rainfall and slope, and the percentage of the area with high soil erosion sensitivity was the largest at elevation 200-500 meters. The overlapping and ordering method was a practicable approach in identifying the key affecting factors in given sensitive areas, being helpful to understand the mechanisms causing soil erosion.关键词
修正的通用土壤流失方程/土壤侵蚀敏感性/环杭州湾地区/叠加排序法/GISKey words
RUSLE/ soil erosion sensitivity/ region around Hangzhou Bay/ overlapping and ordering method/ geographic information system.分类
生物科学引用本文复制引用
李铖,李俊祥,朱飞鸽,曹璐,陈朱,吴彤,吴明,孙海菁..基于RUSLE的环杭州湾地区土壤侵蚀敏感性评价及关键敏感因子识别[J].应用生态学报,2009,20(7):1577-1585,9.基金项目
浙江省重点科技攻关计划项目(2004C12030)、华东师范大学"211工程"生态学重点学科项目和浙江省-中国林业科学研究院合作项目(2005SY09)资助. （2004C12030）
